Evaluating Cardiovascular Risk Using the Tone-Entropy algorithm

Ahsan H. Khandoker, Herbert Jelinek

Research output: Book chapter/Published conference paperConference paper

2 Citations (Scopus)

Abstract

Currently the Framingham equation is the most often used cardiovascular risk calculator in health care. The equation requires data for age, gender, cholesterol status, blood pressure, diabetes status and smoking. A large proportion of the morbidity and mortality associated with cardiovascular disease is due to arrhythmic events that are multifactorial including dysregulation by the autonomic nervous system. In this study we applied the tone-entropy algorithm for analysis of heart rate variability obtained from20 minute ECG recordings and compared the outcome with the Framingham risk stratification. Our results indicate a good agreement between the T-E algorithm and the Framingham risk equation suggesting that this algorithm may be of use for initial screening of cardiovascular risk as it is noninvasive, economical and easy to use in clinical practice.
Original languageEnglish
Title of host publicationProceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages6139-6141
Number of pages3
DOIs
Publication statusPublished - 2013
Event2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Osaka International Convention Center, Osaka, Japan
Duration: 03 Jul 201307 Jul 2013

Publication series

Name
ISSN (Print)1557-170X

Conference

Conference2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
CountryJapan
CityOsaka
Period03/07/1307/07/13
OtherThe conference will cover diverse topics such as biomedical engineering, healthcare technologies, and medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions and oral and poster sessions of unsolicited contributions. All papers will be peer reviewed; accepted papers of up to four pages will appear in the Conference Proceedings and be indexed by IEEE Xplore and Medline/PubMed.

Fingerprint

Entropy
Autonomic Nervous System
Electrocardiography
Cardiovascular Diseases
Heart Rate
Smoking
Cholesterol
Blood Pressure
Morbidity
Delivery of Health Care
Mortality

Cite this

Khandoker, A. H., & Jelinek, H. (2013). Evaluating Cardiovascular Risk Using the Tone-Entropy algorithm. In Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 6139-6141). United States: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2013.6610954
Khandoker, Ahsan H. ; Jelinek, Herbert. / Evaluating Cardiovascular Risk Using the Tone-Entropy algorithm. Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). United States : IEEE, Institute of Electrical and Electronics Engineers, 2013. pp. 6139-6141
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Khandoker, AH & Jelinek, H 2013, Evaluating Cardiovascular Risk Using the Tone-Entropy algorithm. in Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 6139-6141, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 03/07/13. https://doi.org/10.1109/EMBC.2013.6610954

Evaluating Cardiovascular Risk Using the Tone-Entropy algorithm. / Khandoker, Ahsan H.; Jelinek, Herbert.

Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). United States : IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 6139-6141.

Research output: Book chapter/Published conference paperConference paper

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Khandoker AH, Jelinek H. Evaluating Cardiovascular Risk Using the Tone-Entropy algorithm. In Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). United States: IEEE, Institute of Electrical and Electronics Engineers. 2013. p. 6139-6141 https://doi.org/10.1109/EMBC.2013.6610954